Modern Data Architectures – What They Are and How to Implement?
by Matthias Niehoff
This talk explores the rapidly evolving landscape of modern data architectures. We take a look into recent developments such as Data Mesh (who would have guessed) and Data Lakehouse, the ELT pattern, Cloud DWHs and theirlike. We also explore the growing influence of software engineering within the data ecosystem. Speaking of software engineering: the integration of analytics systems with the transactional/operative systems will also be taken into account. Typical scenarios and contextual factors of different architectural approaches we will also be discussed. Additionally, I provide insights into the practical implementation of these architectures using tools and technologies commonly found in the “Modern Data Stack.”